AI Engineer Roadmap | How I'd Learn AI in 2024

AI Engineer Roadmap | How I'd Learn AI in 2024

We are in the midst of a gold rush—companies are investing billions of dollars in AI projects. One career role that stands to benefit the most from this boom is the AI Engineer, also known as the Machine Learning (ML) Engineer. At Leck Technologies, I hire AI Engineers, and I have previously worked with industry giants such as Bloomberg and Nvidia. Based on my industry experience, I'm going to discuss a roadmap with a week-by-week study plan using free learning resources and checklists you can use to become an AI Engineer.

AI Engineers make the highest amount of salary among all technical roles. The salary range can vary significantly based on skills, experience, the hiring company, and location.

Week-by-Week Study Plan

Week 1-2: Foundations of Python Programming

• Basics of Python (variables, loops, functions)
• Data Structures (lists, dictionaries, tuples)

Week 3-4: Introduction to Machine Learning

• Understanding ML concepts
• Learning linear regression and logistic regression

Week 5-6: Advanced Machine Learning Algorithms

• Decision Trees, Random Forests
• Support Vector Machines

Week 7-8: Data Preprocessing and Feature Engineering

• Handling missing data
• Feature scaling and selection

Week 9-10: Deep Learning Basics

• Understanding neural networks
• Introduction to popular frameworks (TensorFlow, PyTorch)

Week 11-12: Advanced Deep Learning

• Convolutional Neural Networks (CNNs)
• Recurrent Neural Networks (RNNs)

Week 13-14: Model Evaluation and Tuning

• Cross-validation techniques
• Hyperparameter tuning

Week 15-16: Deployment and Productionalization

• Deploying models using cloud platforms (AWS, Azure)
• Monitoring and maintaining models

Keywords

• AI Engineer
• ML Engineer
• Python
• Machine Learning
• Deep Learning
• TensorFlow
• PyTorch
• Data Preprocessing
• Model Deployment

FAQ

Q: What is the primary role of an AI Engineer?
A: An AI Engineer's primary role is to design, develop, and deploy machine learning models that help make data-driven decisions.

Q: What skills are essential for becoming an AI Engineer?
A: Essential skills include proficiency in Python, understanding of machine learning algorithms, data preprocessing techniques, and knowledge of deep learning frameworks.

Q: How much can an AI Engineer earn?
A: AI Engineers make some of the highest salaries among all technical roles. The exact salary depends on factors such as skills, experience, the company hiring, and the location.

Q: What are some popular frameworks for deep learning?
A: Popular deep learning frameworks include TensorFlow and PyTorch.

Q: What is the importance of data preprocessing?
A: Data preprocessing is crucial because it helps in cleaning and preparing the data for machine learning models, leading to better model performance.

Q: How do you deploy an AI model?
A: An AI model can be deployed using various cloud platforms such as AWS and Azure, and it's important to set up proper monitoring and maintenance strategies for the deployed model.